uformer-pytorch VS conformer

Compare uformer-pytorch vs conformer and see what are their differences.

uformer-pytorch

Implementation of Uformer, Attention-based Unet, in Pytorch (by lucidrains)

conformer

Implementation of the convolutional module from the Conformer paper, for use in Transformers (by lucidrains)
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uformer-pytorch conformer
1 1
91 332
- -
0.0 3.1
over 2 years ago 12 months ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

uformer-pytorch

Posts with mentions or reviews of uformer-pytorch. We have used some of these posts to build our list of alternatives and similar projects.

conformer

Posts with mentions or reviews of conformer. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing uformer-pytorch and conformer you can also consider the following projects:

Speech-enhancement - Deep learning for audio denoising

routing-transformer - Fully featured implementation of Routing Transformer

mixture-of-experts - A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models

enformer-pytorch - Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch

caer - High-performance Vision library in Python. Scale your research, not boilerplate.

tab-transformer-pytorch - Implementation of TabTransformer, attention network for tabular data, in Pytorch

Mask-RCNN-TF2.7.0-keras2.7.0 - Mask R-CNN for object detection and instance segmentation on Keras==2.7.0 and TensorFlow==2.7.0

Perceiver - Implementation of Perceiver, General Perception with Iterative Attention in TensorFlow

Nystromformer - An implementation of the Nyströmformer, using Nystrom method to approximate standard self attention